Research is challenging, immensely rewarding, and if you do it right,
This page is a set of hints/tips that may be useful if you are starting out in research (and maybe even if you consider
yourself a seasoned researcher!) to understand what it is,
and how it's done.
A big part of the research process involves introspection, thinking hard
about how you work, and what
your interests are. Below are some webpages which provide a
starting point for your thinking.
First, how about asking simply what is research?!
Historical Perspectives on Machine Learning and Pattern Recognition
ML+PR are still maturing fields. If we compare ourselves relative to older sciences, such as biology, chemistry or physics, then we're
still teenagers. It's therefore good to look back and consider how far we've come, and where we're going. This enables us to plan and understand our
objectives and motivations. The following are a series of papers which attempt to do this, or are themselves from the early days of the field, enabling
you to look back in time.